Experiments on Concurrent Artificial Environment

摘要: We show how the simulation of concurrent system is interest for both behavioral studies and strategies learning applied on prey-predator problems. In our case into unknown environment have been to mobile units by using genetic algorithms (GA). A set trajectories, generated GA, are able build a description external scene driving predators prey. Here, an example strategy,based field forces, proposed. The evolution corespondent can be formalized as optimization problem and, that purpose, GA use give right solution at this problem. This approach could autonomous robot navigation in risky or inaccessible environments (monitoring atomic power plants, exploration sea bottom, space missions).